how to use the trained 512 model ?

[doctorcui]

[Fibonacci134]

Please refrain from spamming issues, reread the Updated preparation guide and if you have a specific problem, im sure one of us can help you. Thanks 🙏

[doctorcui]

ok, thank you i have a problem now， i follow the guide to train 512 model first i prepare 6W pics and i run python scripts/crop_align_vggface2_FFHQalign.py --input_dir $DATAPATH$/VGGface2/train --output_dir_ffhqalign $ALIGN_OUTDIR$ --mode ffhq --crop_size 256 and python scripts/inference_gfpgan_forvggface2.py --input_path $ALIGN_OUTDIR$ --batchSize 8 --save_dir $HQ_OUTDIR$

to make my 512*512 dataset

then i run python train.py --name simswap512_test --batchSize 16 --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep True to train my model

i use python test_video_swapsingle.py --crop_size 512 --use_mask --name simswap512 --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_swapsingle.mp4 --temp_path ./temp_results to test but finallly error comes error appears []Pretrained network G has fewer layers; The following are not initialized: ['down0', 'first_layer', 'last_layer', 'up0'] I don't know where I went wrong I really look forward to your help

[doctorcui]

Finally I found the problem I have been following simswap continuously, which led me to try training for the first time I'm using the April 20th version train.py # Last Modified: Wednesday, 20th April 2022 6:33:30 pm but trian.py updated # Last Modified: Friday, 22nd April 2022 10:49:26 am remove line 182,183,184 if opt.train_simswap: src_image1 = F.interpolate(src_image1,size=(256,256), mode='bicubic') src_image2 = F.interpolate(src_image2,size=(256,256), mode='bicubic')

this might be my problem I hope you pay attention to the training version

[Fibonacci134]

Hey, Im glad you found the issue! Good luck, will definitely be paying attention to see how your guy's model turns out. Remember to not undertrain but also, dont over train 🙂

[netrunner-exe]

ok, thank you i have a problem now， i follow the guide to train 512 model first i prepare 6W pics and i run python scripts/crop_align_vggface2_FFHQalign.py --input_dir $DATAPATH$/VGGface2/train --output_dir_ffhqalign $ALIGN_OUTDIR$ --mode ffhq --crop_size 256 and python scripts/inference_gfpgan_forvggface2.py --input_path $ALIGN_OUTDIR$ --batchSize 8 --save_dir $HQ_OUTDIR$

to make my 512*512 dataset

then i run python train.py --name simswap512_test --batchSize 16 --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep True to train my model

i use python test_video_swapsingle.py --crop_size 512 --use_mask --name simswap512 --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_swapsingle.mp4 --temp_path ./temp_results to test but finallly error comes error appears []Pretrained network G has fewer layers; The following are not initialized: ['down0', 'first_layer', 'last_layer', 'up0'] I don't know where I went wrong I really look forward to your help

If I'm not mistaken, the dataset published in the VGGFace2-HQ repository is already aligned, croped and processed with GFPGAN to 512